Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. This role is a limited duration role for a maximum of two years for individual contributors across the Perception team.
You will:
- Report into a Perception Engineering Manager
- Work on an exciting roadmap to deliver new Waymo products
- Be a core contributor across our ML heavy stack, building tooling and systems to promote new hardware platforms, reliable evaluation, scalable data mining, integrated distributed systems, and guide tooling across the development ecosystem and smoother development experience
You have:
- BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience
- High customer focus and attention to detail
- Proficiency in C++
We prefer:
- Familiarity with Google Infrastructure: Flume, Spanner, Borg, or Guitar
- 2 years professional experience contributing to an ML-centric product
- Familiarity with ML principles, models and techniques
- Developed models in a customer-focused environment (e.g., NLP, Speech, or Video).
- Experience in data analysis at a large-scale
- Experience working on a multi-component ML system and building measurable signals to improve it
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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